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To detect wind turbines precisely and quickly in very high resolution remote sensing images (VHRRSI) we propose target mask U-Net. This convolution neural network (CNN), which is carefully designed to...
This paper presents a kernel-based approach for the change detection of remote sensing images. It detects change by comparing the probability density (PD), expressed as kernel functions, of the featur...
In the process of object-oriented change detection, the determination of the optimal segmentation scale is directly related to the subsequent change information extraction and analysis. Aiming at this...
Reliable ship detection plays an important role in both military and civil fields. However, it makes the task difficult with high-resolution remote sensing images with complex background and various t...
Target detection and extraction from high resolution remote sensing images is a basic and wide needed application. In this paper, to improve the efficiency of image interpretation, we propose a detect...
Inclined topographies are one of the most challenging problems for geospatial analysis of air-borne and space-borne imageries. However, flat areas are mostly misleading to exhibit the real performance...
This study intends to identify both general trends and subtle patterns of urban land changes of the past three decades in metropolitan Kansas City area. Landsat images were used to generate time serie...
Remote sensing images fusion can not only improve the spatial resolution for the original multispectral image, but also preserve the spectral information to a certain degree. In order to find out the ...
In order to improve the classification accuracy of the high resolution remote sensing images, the algorithm based on texture features is proposed in this paper. The image is classified initially by te...
This article examines several major bathymetry mapping methods and describes an experimental procedure of determining seabed bathymetry from multi-source passive remote sensing data. Issues to be addr...
In this paper, we propose a computational model which is capable of emulating the experts bottom-up attention to remote sensing images. The bottom-up visual attention is a relatively primary step in ...
An integrated system was developed to detect sub-fields within agricultural parcels from remote sensing images. The permanent field boundaries are known and stored in a database. The detection of the ...
Landscapes can be modelled as sets of homogeneous objects (landscape elements) forming areas of characteristic patterns (landscape units).The common way to represent landscapes is by vector GIS data s...
With satellites’position, the main factors affecting images positioning accuracy are images attitudes. Supposing that satellites’position can be determined by GPS, images’positioning without GCP can...
The extraction of road network is an emerging area in information extraction from high-resolution satellite images (HRSI). It is also an interesting field that incorporates various tactics to achieve ...

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